Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mohammad Bejani"'
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 4, Pp 1772-1796 (2024)
This study examines two downscaling techniques, convolutional neural networks (CNNs) and feedforward neural networks for predicting precipitation and temperature, alongside statistical downscaling as a benchmark model. The daily climate predictors we
Externí odkaz:
https://doaj.org/article/56bd63f7aa27486998d5ee30d09f006c
Publikováno v:
Engineering Proceedings, Vol 56, Iss 1, p 320 (2023)
Climate change, particularly global warming, is a significant environmental issue that has gained widespread attention in recent decades. This study aimed to complement the model for the future by utilizing Global Climate Models (GCMs) data. The shal
Externí odkaz:
https://doaj.org/article/df49d45dab45412bae421e59ad80a1f8
Autor:
Arman Hosseinpour Salehi, Amin Hosseinchi, Mohammad Bejani, Mahdi Alipour, Ali Ilghami Khosroshahi, Khalil Bakhtiari Asl
Publikováno v:
Engineering Proceedings, Vol 56, Iss 1, p 95 (2023)
The efficient monitoring and tracking of groundwater level changes are critical for the sustainable management of water resources, especially in light of population growth and climate change. This study evaluates the ability of the Non-linear Autoreg
Externí odkaz:
https://doaj.org/article/ddc3f56248ba46469b4bb40c7e4455f8
Publikováno v:
Engineering Proceedings, Vol 56, Iss 1, p 291 (2023)
This study aims to identify the optimal regression techniques for downscaling among ten commonly used methods in climatology, including SVR, LinearSVR, LASSO, LASSOCV, Elastic Net, Bayesian Ridge, RandomForestRegressor, AdaBoost Regressor, KNeighbors
Externí odkaz:
https://doaj.org/article/07919eadc3824f3da3ca42b5387c2526
Publikováno v:
Engineering Proceedings, Vol 56, Iss 1, p 309 (2023)
This study investigates the vulnerability of Alberta province in Canada to extreme weather events, particularly drought, which has historically caused significant financial losses. Accurate simulating techniques are crucial for obtaining reliable res
Externí odkaz:
https://doaj.org/article/3d3296b95bf24bdd8e86925ead3709b6